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In Internet of Things (IoT) networks, Unmanned Aerial Vehicles (UAVs) play a critical role as mobile nodes that can be deployed to carry out data collection and computation. In this respect, this paper considers an operator that deploys UAVs to satisfy requests from IoT applications that require Virtual Network Functions (VNFs) that may communicate with one another to be executed at different geographical locations. To this end, this paper formulates a novel Mixed Integer Linear Program (MILP) to determine the optimal assignments of UAVs and VNFs over a planning horizon that maximizes a given ...

Many industries now rely on drones to monitor infrastructures. In this respect, this article considers maximizing the revenue of an Industrial Internet of Things operator that provides two services: 1) data trading; and 2) drones rental. In service 1), the operator sells data of locations/points it acquired via drones. For service 2), it rents idle drones to users. The problem at hand is to determine the allocation of drones to services 1) and 2) that maximizes the operator's revenue over a given planning horizon. We outline a novel integer linear program (ILP) to solve the said problem, ...

Adrian Rivera Cardoso is a researcher and software engineer.

Introducing TitanQ: Quantum-Inspired Platform Revolutionizes Problem-Solving in Optimization. Faster, Greener, and Accessible to Businesses...

An innovative approach that is rapidly gaining popularity in semiconductor design is the introduction of “shift left” analysis and verification, shifting signoff-quality design analysis, verification, and optimization back into earlier stages of the design flow. Calibre shift left solutions provide innovative tools and functionality that rely on proven, foundry-trusted Calibre rule decks and engines, ensuring the highest quality of results, industry-leading performance, and user-friendly integrations and interfaces.